201 to 225 of 1,576 Machine Learning Jobs

someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment … actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining ...

Senior Java Software Engineer - Java Developer, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office - Notting Hill) Description for the Senior Java Software Engineer role:- You will be joining a fast-growing, research-driven company building an artificial … intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Java Software engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build ...

stakeholder facing, upwards and downwards management and technical understanding. You'll lead a growing Data science function responsible for delivering real-world AI, machine learning and data science solutions across a complex professional services environment. The challenge is not simply building models. It's understanding business problems, translating … them into practical solutions, and helping senior stakeholders understand exactly how technology can create value. The team is already delivering across machine learning, GenAI, document intelligence, search, retrieval, automation and knowledge management. The next phase involves expanding AI capability, shaping a longer-term roadmap around emerging technologies such ...

performing, research-driven team in a systematic trading environment, tackling complex, real-world prediction and optimisation challenges. This role sits at the intersection of machine learning research, mathematical modelling, and high-performance computing, with a focus on designing, testing, and deploying models in data-rich, noisy, and highly … dynamic environments where precision, speed, and robustness are critical. You’ll develop novel machine learning models for large-scale predictive systems, apply statistical and probabilistic techniques to real-world data, and design rigorous experiments to evaluate performance. The work also includes simulation-driven approaches such as Monte Carlo ...

technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they … C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with ...

learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimise automated ML deployment … pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best ...

transformer architecture, diffusion models, flow matching, and variational autoencoders: their evolution, their tradeoffs, and where they're going. Real world experience building ML/AI systems that reached production, not just research prototypes. Practical experience managing research projects end to end — from problem formulation through to evaluation and deployment. Knowledge … modern, larger-scale Python and the ML stack (PyTorch, JAX, or equivalent). You write research-grade code. Practical experience building large-scale data pipelines. We don't have data infrastructure — you'll help build it. Nice to Have Experience in a high-pace startup environment. Knowledgeable about physical engineering ...

senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring … Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such ...

Doing Build, test, and improve production-grade deep learning models for computer vision tasks (classification, detection, segmentation, tracking) Optimise and deploy CV/ML pipelines to cloud and edge platforms Design, curate, and manage image/video datasets for training and evaluation Develop and maintain annotation workflows and tooling … Create synthetic data pipelines (including generative approaches) to augment real-world datasets Stay current with emerging tools, methods, and best practices in CV/ML What We're Looking For Degree in Computer Science, Electrical Engineering, Robotics (or similar), or equivalent commercial experience Proven experience delivering deep learning solutions ...

+ benefits Do you want to lead a world-class data science function at a high-growth organisation where AI, machine learning and advanced analytics sit at the heart of commercial strategy? We're looking for a Head of Data Science who's passionate about building and scaling … Experience with distributed computing and cloud platforms such as AWS, Azure Synapse or Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML). Strong commercial acumen with the ability to translate business problems into scalable, impactful solutions. A track record of influencing at senior ...

technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines … processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers ...

deployment within cloud-based environments Maintain high standards of code quality, documentation, and testing within a DevOps-oriented workflow Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models What We’re Looking For: Essential Skills & Experience … across varied data types and business domains Familiarity with DevOps practices and tools such as Git Cloud experience (e.g., Azure, AWS) and working with ML platforms and services Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders Ability to align analytical outputs with broader business ...

leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations … will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will ...

practices for architecture, coding, and MLOps Collaborate cross-functionally with compliance, legal, and product teams Mentor a team of engineers on best AI/ML practices Qualifications: -Bachelor's or Master's degree in Computer Science, AI/ML, or related field -PhD preferred but not required -8 years … experience in software engineering or machine learning -Proven track record of building and deploying production AI/ML systems -Experience in regulated industries (finance, legal, healthcare) strongly preferred Technical Skills: -AI/Machine Learning -Strong expertise in: NLP and large language models (LLMs) Retrieval-augmented generation ...

real-time audio intelligence. This contract role is based in London with hybrid working and will suit someone who can combine strong applied ML capability with solid software engineering and production delivery experience. You will help build and improve machine learning models and cloud services that enable natural … responsive voice experiences across consumer devices and partner ecosystems. You will design, develop, train and optimise scalable ML models for areas such as far-field voice detection, speaker verification, wake-word/keyword spotting, and audio enhancement. You will contribute to applied innovation across speech and audio signal processing ...

ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI/ML to content, data, and products • Conduct research and identify AI/ML algorithms and methods to solve specific business problems • Implement rigorous testing and evaluation … Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI/ML applications and data-driven solutions • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including ...

combine deep technical expertise with strong communication and leadership skills. This is an opportunity to lead thinking, influence decisions, and bring advanced analytics, machine learning and AI into real world operations. If you enjoy solving complex problems, guiding others, and explaining technical concepts in a way that genuinely … you. The role Leading the discovery of opportunities where advanced analytics can deliver measurable value across the business. Designing, building and deploying statistical, machine learning and deep learning models that improve performance, efficiency and safety. Engineering and manipulating large, complex datasets using platforms such as Azure ...

both strategic and delivery-focused. The Role Strategic & Technical Leadership Define and evolve the data science roadmap aligned to business priorities. Identify high-value ML use cases and translate commercial problems into scalable analytical solutions. Lead end-to-end model lifecycle delivery: problem framing, feature engineering, experimentation, validation, deployment, monitoring … documentation. Set standards for model governance, explainability, monitoring, and auditability within a regulated financial environment. Machine Learning & Delivery Architect and develop robust ML models (e.g., classification, regression, anomaly detection) using Python and cloud-based tooling. Design scalable feature pipelines in collaboration with Data Engineering. Lead productionisation efforts, including ...

Machine Learning Engineer - Defence 60,000 - £90,000 GBP Hybrid WORKING Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

looking for a Machine Learning Ops Engineer to help operationalise machine … learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value click apply for full job details ...

, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas/li , li Demonstrated success working with technical teams or senior specialists … high stakes modelling environments/li , li Deep understanding of AI/ML systems including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques/li , li Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks/ ...

Computer Vision ML EngineerFully Remote6 Month ContractOutside IR35£550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working … practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion ...

Integrating scalable production-grade AI/ML systems into engineering applications Guildford; to £80,000 plus benefits This engineering software company are integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have … interest include Python, C++ and C#. Software may be desktop or web + cloud. Mobile app development is not a primary focus. AI and ML techniques are likely working with numerical data or imaging rather than natural language/LLM. The role offers a highly competitive salary and benefits ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

data solutions with measurable impact. Key Responsibilities Produce high-quality data, robust data architecture, and scalable systems that support applications, analytics and AI/ML initiatives Create and maintain data ingestion pipelines delivering clean, well-structured data to power applications and machine learning models Create and maintain data … optimized for experimentation and model training Maintain and evolve our databases and data warehouses across environments, ensuring performance, integrity, and support for analytics and ML use cases Troubleshoot and resolve data issues across systems, identifying root causes and implementing long-term fixes Stay up to date with developments in data ...